Machine learning assisted identification of security patterns

Disclosed are various embodiments for using machine learning models to identify appropriate security patterns to follow during the application development process. A computing device can receive a request to identify a collection of security patterns to apply to an application and then identify a plurality of features associated with the application. Next, the computing device can submit the plurality of features to a random forest machine learning model and receive a first set of security patterns in response. Then, the computing device can submit the plurality of features to a k-nearest neighbor (KNN) machine learning model and receive a second set of security patterns in response. Then, the computing device can identify a subset of the security patterns that is included in both the first set of security patterns and the second set of security patterns and return the subset of the security patterns.